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Compensation Data Analytics Jobs in Spokane, WA (NOW HIRING)

BI Data Engineer

Spokane, WA · On-site

$88K - $116K/yr

Collect, organize, and analyze data from multiple internal and external sources to answer business ... Compensation & Benefits * Targeted starting salary range (based on experience): $88,657-116,819

Data Integrations Lead

Spokane, WA · On-site

$115K - $120K/yr

Partner with analysts, application owners, data teams, vendors, and architecture resources to ... compensation package: * An employee's pay position within the salary range will be based on several ...

Data Integrations Lead

Spokane, WA · On-site

$115K - $120K/yr

Partner with analysts, application owners, data teams, vendors, and architecture resources to ... compensation package: * An employee's pay position within the salary range will be based on several ...

Power BI Intern

Spokane, WA · On-site

$15/hr

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... Actual compensation will depend on a range of factors, including but not limited to the individual ...

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... Actual compensation will depend on a range of factors, including but not limited to the individual ...

Solutions Engineer, Remote

Spokane, WA · On-site

$120K - $140K/yr

Analyze pilot data and algorithm behavior to validate customer use cases and ensure technical ... Additional compensation may include equity, bonuses, stipends, medical, dental, vision, 401(k), and ...

Data Integrations Lead

Spokane, WA · On-site

$115K - $120K/yr

Partner with analysts, application owners, data teams, vendors, and architecture resources to ... compensation package: * An employee's pay position within the salary range will be based on several ...

Quantitative Analyst

Spokane, WA · On-site +1

$88K - $104K/yr

Prepare and provide data, model insights, and documentation for regulators, auditors, and ... Compensation & Benefits * Targeted starting salary range (based on experience): $88,657-104,303

Quantitative Analyst

Spokane, WA · On-site +1

$88K - $104K/yr

Prepare and provide data, model insights, and documentation for regulators, auditors, and ... Compensation & Benefits * Targeted starting salary range (based on experience): $88,657-104,303

Entegral Financial Analyst

Spokane, WA · On-site +1

$36.15 - $43.41/hr

The compensation information below is provided in compliance with job posting disclosure ... Experience in data pipelines, SQL, machine learning and visualization * Interpreting analytics and ...

Entegral Financial Analyst

Spokane, WA · On-site

$75K - $90K/yr

The compensation information below is provided in compliance with job posting disclosure ... Experience in data pipelines, SQL, machine learning and visualization * Interpreting analytics and ...

Data Integrations Manager

Spokane, WA · On-site

$125K - $130K/yr

Improve reliability, monitoring, alerting, runbooks, incident response, root-cause analysis, and ... compensation package: * An employee's pay position within the salary range will be based on several ...

Improve reliability, monitoring, alerting, runbooks, incident response, root-cause analysis, and ... compensation package: * An employee's pay position within the salary range will be based on several ...

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Compensation Data Analytics information

What is compensation data analytics?

Compensation data analytics is the process of collecting, analyzing, and interpreting data related to employee compensation, such as salaries, bonuses, and benefits. This field helps organizations make informed decisions about pay structures, ensure competitive and equitable compensation, and comply with legal requirements. By leveraging data analytics, companies can identify trends, address pay disparities, and optimize their compensation strategies to attract and retain top talent.

What are the key skills and qualifications needed to thrive as a Compensation Data Analytics professional, and why are they important?

To thrive as a Compensation Data Analytics professional, you need strong analytical skills, a solid understanding of compensation structures, and a degree in fields like HR, finance, or statistics. Familiarity with HR information systems (HRIS), data visualization tools like Tableau or Power BI, and proficiency in Excel or statistical software such as R or Python are commonly required. Attention to detail, problem-solving abilities, and effective communication skills help you translate complex data into actionable insights for stakeholders. These skills ensure accurate, data-driven compensation strategies that support organizational goals and fair employee practices.

What is the difference between Compensation Data Analytics vs Compensation Analyst?

AspectCompensation Data AnalyticsCompensation Analyst
CredentialsDegree in HR, Business, or Data Analytics; often certifications in data analysisDegree in HR, Business, or related field; HR certifications common
Work EnvironmentData-focused, analytical tasks, often in HR or compensation departmentsHR teams, compensation planning, employee benefits
Industry UsageUsed across industries for data-driven compensation strategiesPrimarily in HR and compensation departments within various industries
Search & Comparison IntentFocus on data analysis skills and tools for compensation dataFocus on salary structures, benefits, and employee compensation policies

Compensation Data Analytics involves analyzing large datasets to inform compensation strategies, requiring strong data skills. Compensation Analysts focus on designing and managing salary structures and benefits. Both roles collaborate but differ mainly in their focus—data analysis versus policy implementation.

What is the highest paying job in data analytics?

The highest paying roles in data analytics typically include Data Science Directors, Chief Data Officers, and Analytics Executives, with salaries often exceeding $150,000 annually. These positions require advanced skills in statistical analysis, machine learning, and leadership, and are usually found in large corporations or tech companies.

What jobs make $1,000,000 a year?

In compensation data analytics, roles such as chief data officer, senior data scientist, or executive-level positions in finance and technology can reach or exceed $1 million annually, often through base salary, bonuses, and stock options. These high earnings typically require extensive experience, advanced skills in data modeling and analytics tools, and leadership responsibilities. Such compensation is more common in large corporations or successful startups with significant revenue and growth potential.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain expertise. Therefore, while AI may augment a data analyst's work, it is unlikely to fully replace the role in the near future.

How does a Compensation Data Analytics professional typically collaborate with HR and business leaders to inform pay decisions?

Compensation Data Analytics professionals work closely with HR teams and business leaders by providing data-driven insights that guide salary structures, incentive plans, and pay equity initiatives. They interpret data from salary surveys, internal pay records, and market trends, translating complex analyses into actionable recommendations. Regular meetings and presentations are common, ensuring that stakeholders understand compensation trends and can make informed decisions that support organizational goals. Effective communication and collaboration are key, as these professionals often bridge the gap between technical analytics and strategic HR planning.

What jobs pay 500,000 a year in the US?

In compensation data analytics, senior roles such as Chief Compensation Officer or Compensation Director can reach or exceed $500,000 annually, especially in large corporations or industries with high compensation packages. These positions often require extensive experience, advanced certifications, and expertise in data analysis, market trends, and compensation strategy.
What are popular job titles related to Compensation Data Analytics jobs in Spokane, WA? For Compensation Data Analytics jobs in Spokane, WA, the most frequently searched job titles are:
What job categories do people searching Compensation Data Analytics jobs in Spokane, WA look for? The top searched job categories for Compensation Data Analytics jobs in Spokane, WA are:
What cities near Spokane, WA are hiring for Compensation Data Analytics jobs? Cities near Spokane, WA with the most Compensation Data Analytics job openings:

$31.88 - $47.83/hr

Full-time

Medical, Life, Retirement

Posted 10 days ago


Job description

The Business Data Analyst works closely with business lines to solve complex data and process improvement problems. Helps to define problem, data needs and definitions to make recommendations on a solution. Supports the delivery of tools that will scale and bring clarity to business line needs. Partners with Business Intelligence, Software Development teams and other business line analysts on solutions. This role requires a unique combination of skills: strong business acumen with a history of using data to solve business problems, deep analytical ability, a strategic and process improvement mindset as well as the ability translate data needs and encourage the use of data to guide decision making. This position acts as the subject matter expert responsible for analyzing business requirements and problems to recommend solutions, data requirements, and operational solutions, in partnership with stakeholder departments. Must be able to communicate clearly and effectively with both technical and non-technical individuals.

Essential Functions:

  • Analyzes business requirements to design and develop optimal technical solutions using database and software development tools and methodologies.
  • Strong aptitude to identify process and operational improvement themes to support data and reporting requests.
  • Executes data analytics models with effective and practical short- and long-term actionable solutions.
  • May collaborate with business users to better understand needs and develop well defined business requirements.
  • May lead or support business line development efforts of reports and dashboards, by clearly defining and documenting data use, data source and function in support of the data program.
  • Ability to prioritize assignments and handle multiple priorities while maintaining a high level of service to clients in a deadline driven environment under the direction of management.
  • Achieves business goals by fostering innovation and coordinating the evaluation, deployment, and management of current and future solutions.
  • Assists in establishing and developing appropriate implementation methodology to successfully develop and deploy the solution.
  • Conducts review of deliverables to ensure quality and standard process adherence.
  • Prepares findings for decision-makers. May interpret findings as needed.
  • Analyzes complex data sets surfacing critical business insights.
  • Brings groups with disparate interests and goals to an effective defined productive resolution.
  • Supports input for business line terms in business glossaries, data dictionaries, and data flow diagrams.
  • Adheres to IT standards and procedures.
  • Performs compliance and risk management duties as required or assigned.
  • Regular, reliable attendance is required.

Qualifications:

  • Bachelor’s degree in MIS, Computer Science, Business/Finance, or similar field required or related equivalent professional experience.
  • Handles pressure in a fast-paced environment with competing priorities and aggressive deadlines.
  • Demonstrated proficiency with various applications and tools, including the Microsoft Office suite of products, spreadsheets, word processing, database, email, networking, development tools/languages, Internet applications and collaboration tools such as SharePoint and OneNote.
  • Strong attention to process improvement to ensure scale and efficiency.
  • Strong detail orientation with high level of organizational skills and ability to multi-task, managing interruptions with multiple projects.
  • Demonstrated self-motivation and initiative; ability to work well both independently and with others.
  • Excellent interpersonal skills: ability to collaborate with and work effectively with diverse groups of people, managing conflict and negotiating for results when needed.
  • Strong verbal and written communication skills, including ability to communicate and collaborate effectively with technical and non-technical people.
  • Preferred experience working in the financial services industry.

Professional Experience in One Or More of the Following Areas

  • Analytics and Reporting
  • Application Development
  • Application Integration
  • SQL Server:
    • T-SQL Scripting
    • SSRS (Paginated Reporting)
  • Programming or Scripting Language: Python, C#, JavaScript, or TypeScript, with the ability to learn and apply new technologies quickly.
  • Microsoft 365:
    • Office Suite - Special focus on being an advanced Excel user.
    • SharePoint - Understands difference between on premise and cloud functionality.

Power BI

  • Intermediate to advanced data modeling and data visualization experience
  • Familiar with DAX and Power Query
  • Power BI Service/Fabric

Power Automate

  • Understands use cases and what is possible. Created and managed flows in production environment.

Power Apps

  • Understands use cases and what is possible. Created and managed apps in production environment.

Compensation:

Business Data Analyst I - $31.88 - $47.83 per hour
Business Data Analyst II - $36.52 - $54.78 per hour

The compensation range represents the low and high end of the base compensation range for this position located in Spokane, WA. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. 

What Our Culture Can Offer You:

Our benefit philosophy is to provide you with a comprehensive package to secure your overall wellness and help you become and remain a fulfilled and productive employee. Our benefits include Health, Financial, Retirement and Work/Life Benefits. We are proud to share an overview of our benefits HERE as part of your total compensation.

Washington Trust Bank celebrates diversity in the workplace and actively recruits talent to help reflect the unique communities where we live and work. We are proud to be an equal opportunity employer and prohibit discrimination or harassment based on race, religion, sex, gender identity, sexual orientation, national origin, age, pregnancy, disability, genetic information and any other protected characteristics outline by state, federal and local laws. We believe strength comes from the diverse backgrounds and experiences of our team, and we are dedicated to fostering a supportive and inclusive work environment.